Overview

Dataset statistics

Number of variables34
Number of observations21593
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 MiB
Average record size in memory272.0 B

Variable types

NUM25
BOOL7
CAT2

Reproduction

Analysis started2020-08-07 01:40:12.608099
Analysis finished2020-08-07 01:41:38.665380
Duration1 minute and 26.06 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

date has a high cardinality: 372 distinct values High cardinality
log_sqft_living is highly correlated with sqft_livingHigh correlation
sqft_living is highly correlated with log_sqft_livingHigh correlation
log_sqft_above is highly correlated with sqft_aboveHigh correlation
sqft_above is highly correlated with log_sqft_aboveHigh correlation
log_sqft_living15 is highly correlated with sqft_living15High correlation
sqft_living15 is highly correlated with log_sqft_living15High correlation
log_sqft_lot15 is highly correlated with log_sqft_lotHigh correlation
log_sqft_lot is highly correlated with log_sqft_lot15High correlation
Unnamed: 0 has unique values Unique
view has 19481 (90.2%) zeros Zeros
sqft_basement has 13278 (61.5%) zeros Zeros
yr_renovated has 20849 (96.6%) zeros Zeros

Variables

Unnamed: 0
Real number (ℝ≥0)

UNIQUE

Distinct count21593
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10798.316259899042
Minimum0
Maximum21596
Zeros1
Zeros (%)< 0.1%
Memory size168.7 KiB
2020-08-06T20:41:38.754143image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1079.6
Q15399
median10798
Q316198
95-th percentile20516.4
Maximum21596
Range21596
Interquartile range (IQR)10799

Descriptive statistics

Standard deviation6234.95893
Coefficient of variation (CV)0.5774010299
Kurtosis-1.200173433
Mean10798.31626
Median Absolute Deviation (MAD)5400
Skewness-3.367561324e-05
Sum233168043
Variance38874712.86
2020-08-06T20:41:38.864876image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
20471< 0.1%
 
108961< 0.1%
 
129311< 0.1%
 
26921< 0.1%
 
6451< 0.1%
 
67901< 0.1%
 
47431< 0.1%
 
190841< 0.1%
 
170371< 0.1%
 
211351< 0.1%
 
Other values (21583)21583> 99.9%
 
ValueCountFrequency (%) 
01< 0.1%
 
11< 0.1%
 
21< 0.1%
 
31< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
215961< 0.1%
 
215951< 0.1%
 
215941< 0.1%
 
215931< 0.1%
 
215921< 0.1%
 

id
Real number (ℝ≥0)

Distinct count21416
Unique (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4580300249.665308
Minimum1000102
Maximum9900000190
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:39.028409image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1000102
5-th percentile512480335
Q12123049142
median3904930240
Q37308900490
95-th percentile9297300429
Maximum9900000190
Range9899000088
Interquartile range (IQR)5185851348

Descriptive statistics

Standard deviation2876833103
Coefficient of variation (CV)0.6280883231
Kurtosis-1.260728428
Mean4580300250
Median Absolute Deviation (MAD)2402530100
Skewness0.243326476
Sum9.890242329e+13
Variance8.276168703e+18
2020-08-06T20:41:39.162053image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7950006203< 0.1%
 
18250690312< 0.1%
 
51014056042< 0.1%
 
35784010602< 0.1%
 
33320006152< 0.1%
 
10364002002< 0.1%
 
33950405502< 0.1%
 
73875002352< 0.1%
 
61175018202< 0.1%
 
12320008102< 0.1%
 
Other values (21406)2157299.9%
 
ValueCountFrequency (%) 
10001022< 0.1%
 
12000191< 0.1%
 
12000211< 0.1%
 
28000311< 0.1%
 
36000571< 0.1%
 
ValueCountFrequency (%) 
99000001901< 0.1%
 
98950000401< 0.1%
 
98423005401< 0.1%
 
98423004851< 0.1%
 
98423000951< 0.1%
 

date
Categorical

HIGH CARDINALITY

Distinct count372
Unique (%)1.7%
Missing0
Missing (%)0.0%
Memory size168.7 KiB
2014-06-23
 
142
2014-06-25
 
131
2014-06-26
 
131
2014-07-08
 
127
2015-04-27
 
126
Other values (367)
20936
ValueCountFrequency (%) 
2014-06-231420.7%
 
2014-06-251310.6%
 
2014-06-261310.6%
 
2014-07-081270.6%
 
2015-04-271260.6%
 
2015-03-251230.6%
 
2015-04-281210.6%
 
2014-07-091210.6%
 
2015-04-141210.6%
 
2015-04-221210.6%
 
Other values (362)2032994.1%
 
2020-08-06T20:41:39.359555image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

price
Real number (ℝ≥0)

Distinct count3621
Unique (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean540352.6882786088
Minimum78000.0
Maximum7700000.0
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:39.448287image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum78000
5-th percentile210000
Q1322000
median450000
Q3645000
95-th percentile1160000
Maximum7700000
Range7622000
Interquartile range (IQR)323000

Descriptive statistics

Standard deviation367377.5333
Coefficient of variation (CV)0.6798847147
Kurtosis34.54189159
Mean540352.6883
Median Absolute Deviation (MAD)150000
Skewness4.023468647
Sum1.16678356e+10
Variance1.34966252e+11
2020-08-06T20:41:39.552035image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3500001720.8%
 
4500001720.8%
 
5500001590.7%
 
5000001520.7%
 
4250001500.7%
 
3250001480.7%
 
4000001450.7%
 
3750001380.6%
 
3000001330.6%
 
5250001310.6%
 
Other values (3611)2009393.1%
 
ValueCountFrequency (%) 
780001< 0.1%
 
800001< 0.1%
 
810001< 0.1%
 
820001< 0.1%
 
825001< 0.1%
 
ValueCountFrequency (%) 
77000001< 0.1%
 
70600001< 0.1%
 
68900001< 0.1%
 
55700001< 0.1%
 
53500001< 0.1%
 

bedrooms
Real number (ℝ≥0)

Distinct count11
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.372018709767054
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:39.657759image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum11
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9039294469
Coefficient of variation (CV)0.2680677436
Kurtosis1.798900302
Mean3.37201871
Median Absolute Deviation (MAD)1
Skewness0.5523050281
Sum72812
Variance0.817088445
2020-08-06T20:41:39.735521image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3982545.5%
 
4688131.9%
 
2275812.8%
 
516017.4%
 
62721.3%
 
11950.9%
 
7380.2%
 
8130.1%
 
96< 0.1%
 
103< 0.1%
 
ValueCountFrequency (%) 
11950.9%
 
2275812.8%
 
3982545.5%
 
4688131.9%
 
516017.4%
 
ValueCountFrequency (%) 
111< 0.1%
 
103< 0.1%
 
96< 0.1%
 
8130.1%
 
7380.2%
 

bathrooms
Real number (ℝ≥0)

Distinct count28
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1161255962580467
Minimum0.75
Maximum8.0
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:39.831292image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0.75
5-th percentile1
Q11.75
median2.25
Q32.5
95-th percentile3.5
Maximum8
Range7.25
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.768740937
Coefficient of variation (CV)0.363277557
Kurtosis1.28110192
Mean2.116125596
Median Absolute Deviation (MAD)0.5
Skewness0.5208516589
Sum45693.5
Variance0.5909626282
2020-08-06T20:41:39.926042image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.5537724.9%
 
1385117.8%
 
1.75304814.1%
 
2.2520479.5%
 
219308.9%
 
1.514456.7%
 
2.7511855.5%
 
37533.5%
 
3.57313.4%
 
3.255892.7%
 
Other values (18)6373.0%
 
ValueCountFrequency (%) 
0.75710.3%
 
1385117.8%
 
1.259< 0.1%
 
1.514456.7%
 
1.75304814.1%
 
ValueCountFrequency (%) 
82< 0.1%
 
7.751< 0.1%
 
7.51< 0.1%
 
6.752< 0.1%
 
6.52< 0.1%
 

sqft_living
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1034
Unique (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2080.4784420877136
Minimum370
Maximum13540
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:40.015771image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum370
5-th percentile940
Q11430
median1910
Q32550
95-th percentile3760
Maximum13540
Range13170
Interquartile range (IQR)1120

Descriptive statistics

Standard deviation918.0763767
Coefficient of variation (CV)0.4412813698
Kurtosis5.253186564
Mean2080.478442
Median Absolute Deviation (MAD)540
Skewness1.473468606
Sum44923771
Variance842864.2334
2020-08-06T20:41:40.098550image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
13001380.6%
 
14001350.6%
 
14401330.6%
 
16601290.6%
 
10101290.6%
 
18001290.6%
 
18201280.6%
 
14801250.6%
 
17201250.6%
 
15401240.6%
 
Other values (1024)2029894.0%
 
ValueCountFrequency (%) 
3701< 0.1%
 
3801< 0.1%
 
3901< 0.1%
 
4101< 0.1%
 
4202< 0.1%
 
ValueCountFrequency (%) 
135401< 0.1%
 
120501< 0.1%
 
100401< 0.1%
 
98901< 0.1%
 
96401< 0.1%
 

sqft_lot
Real number (ℝ≥0)

Distinct count9775
Unique (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15101.193396007966
Minimum520
Maximum1651359
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:40.193296image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum520
5-th percentile1802.2
Q15040
median7620
Q310687
95-th percentile43313.4
Maximum1651359
Range1650839
Interquartile range (IQR)5647

Descriptive statistics

Standard deviation41416.25276
Coefficient of variation (CV)2.742581442
Kurtosis285.4462622
Mean15101.1934
Median Absolute Deviation (MAD)2620
Skewness13.07147474
Sum326080069
Variance1715305993
2020-08-06T20:41:40.290071image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
50003581.7%
 
60002901.3%
 
40002511.2%
 
72002201.0%
 
75001190.6%
 
48001190.6%
 
45001140.5%
 
84001110.5%
 
96001090.5%
 
36001030.5%
 
Other values (9765)1979991.7%
 
ValueCountFrequency (%) 
5201< 0.1%
 
5721< 0.1%
 
6001< 0.1%
 
6091< 0.1%
 
6351< 0.1%
 
ValueCountFrequency (%) 
16513591< 0.1%
 
11647941< 0.1%
 
10742181< 0.1%
 
10240681< 0.1%
 
9829981< 0.1%
 

floors
Real number (ℝ≥0)

Distinct count6
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4941416199694346
Minimum1.0
Maximum3.5
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:40.383819image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile2
Maximum3.5
Range2.5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5396903708
Coefficient of variation (CV)0.3612042952
Kurtosis-0.4910812338
Mean1.49414162
Median Absolute Deviation (MAD)0.5
Skewness0.6144020272
Sum32263
Variance0.2912656963
2020-08-06T20:41:40.465569image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
11067049.4%
 
2823438.1%
 
1.519108.8%
 
36112.8%
 
2.51610.7%
 
3.57< 0.1%
 
ValueCountFrequency (%) 
11067049.4%
 
1.519108.8%
 
2823438.1%
 
2.51610.7%
 
36112.8%
 
ValueCountFrequency (%) 
3.57< 0.1%
 
36112.8%
 
2.51610.7%
 
2823438.1%
 
1.519108.8%
 

waterfront
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size168.7 KiB
0
21447
1
 
146
ValueCountFrequency (%) 
02144799.3%
 
11460.7%
 

view
Real number (ℝ≥0)

ZEROS

Distinct count5
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23322372991247164
Minimum0.0
Maximum4.0
Zeros19481
Zeros (%)90.2%
Memory size168.7 KiB
2020-08-06T20:41:40.551373image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7647368185
Coefficient of variation (CV)3.278983742
Kurtosis10.96213403
Mean0.2332237299
Median Absolute Deviation (MAD)0
Skewness3.405306519
Sum5036
Variance0.5848224016
2020-08-06T20:41:40.641130image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01948190.2%
 
29574.4%
 
35082.4%
 
13301.5%
 
43171.5%
 
ValueCountFrequency (%) 
01948190.2%
 
13301.5%
 
29574.4%
 
35082.4%
 
43171.5%
 
ValueCountFrequency (%) 
43171.5%
 
35082.4%
 
29574.4%
 
13301.5%
 
01948190.2%
 

condition
Real number (ℝ≥0)

Distinct count5
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.409855045616635
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:40.733885image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6505755584
Coefficient of variation (CV)0.1907927316
Kurtosis0.5190001303
Mean3.409855046
Median Absolute Deviation (MAD)0
Skewness1.035950016
Sum73629
Variance0.4232485572
2020-08-06T20:41:40.825641image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
31401764.9%
 
4567626.3%
 
517017.9%
 
21700.8%
 
1290.1%
 
ValueCountFrequency (%) 
1290.1%
 
21700.8%
 
31401764.9%
 
4567626.3%
 
517017.9%
 
ValueCountFrequency (%) 
517017.9%
 
4567626.3%
 
31401764.9%
 
21700.8%
 
1290.1%
 

grade
Real number (ℝ≥0)

Distinct count11
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.658176260825267
Minimum3
Maximum13
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:40.922384image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q17
median7
Q38
95-th percentile10
Maximum13
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.173058039
Coefficient of variation (CV)0.1531772055
Kurtosis1.135619244
Mean7.658176261
Median Absolute Deviation (MAD)1
Skewness0.7888003482
Sum165363
Variance1.376065162
2020-08-06T20:41:40.997181image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7897441.6%
 
8606428.1%
 
9261512.1%
 
620369.4%
 
1011345.3%
 
113991.8%
 
52411.1%
 
12890.4%
 
4270.1%
 
13130.1%
 
ValueCountFrequency (%) 
31< 0.1%
 
4270.1%
 
52411.1%
 
620369.4%
 
7897441.6%
 
ValueCountFrequency (%) 
13130.1%
 
12890.4%
 
113991.8%
 
1011345.3%
 
9261512.1%
 

sqft_above
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count942
Unique (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1788.7443152873616
Minimum370
Maximum9410
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:41.075972image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum370
5-th percentile850
Q11190
median1560
Q32210
95-th percentile3400
Maximum9410
Range9040
Interquartile range (IQR)1020

Descriptive statistics

Standard deviation827.7015965
Coefficient of variation (CV)0.46272773
Kurtosis3.406782397
Mean1788.744315
Median Absolute Deviation (MAD)450
Skewness1.447921763
Sum38624356
Variance685089.9328
2020-08-06T20:41:41.152095image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
13002121.0%
 
10102101.0%
 
12002061.0%
 
12201920.9%
 
11401840.9%
 
14001800.8%
 
10601780.8%
 
11801770.8%
 
13401760.8%
 
12501740.8%
 
Other values (932)1970491.3%
 
ValueCountFrequency (%) 
3701< 0.1%
 
3801< 0.1%
 
3901< 0.1%
 
4101< 0.1%
 
4202< 0.1%
 
ValueCountFrequency (%) 
94101< 0.1%
 
88601< 0.1%
 
85701< 0.1%
 
80201< 0.1%
 
78801< 0.1%
 

sqft_basement
Real number (ℝ≥0)

ZEROS

Distinct count303
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285.7245866716065
Minimum0.0
Maximum4820.0
Zeros13278
Zeros (%)61.5%
Memory size168.7 KiB
2020-08-06T20:41:41.234873image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3550
95-th percentile1180
Maximum4820
Range4820
Interquartile range (IQR)550

Descriptive statistics

Standard deviation439.8466289
Coefficient of variation (CV)1.5394077
Kurtosis2.813145198
Mean285.7245867
Median Absolute Deviation (MAD)0
Skewness1.60523078
Sum6169651
Variance193465.0569
2020-08-06T20:41:41.319648image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01327861.5%
 
6002171.0%
 
5002091.0%
 
7002081.0%
 
8002010.9%
 
4001840.9%
 
10001480.7%
 
9001420.7%
 
3001420.7%
 
2001050.5%
 
Other values (293)675931.3%
 
ValueCountFrequency (%) 
01327861.5%
 
102< 0.1%
 
201< 0.1%
 
404< 0.1%
 
50110.1%
 
ValueCountFrequency (%) 
48201< 0.1%
 
41301< 0.1%
 
35001< 0.1%
 
34801< 0.1%
 
32601< 0.1%
 

yr_built
Real number (ℝ≥0)

Distinct count116
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1971.0039364608901
Minimum1900
Maximum2015
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:41.409407image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1900
5-th percentile1915
Q11951
median1975
Q31997
95-th percentile2011
Maximum2015
Range115
Interquartile range (IQR)46

Descriptive statistics

Standard deviation29.37328638
Coefficient of variation (CV)0.01490270305
Kurtosis-0.6573312361
Mean1971.003936
Median Absolute Deviation (MAD)23
Skewness-0.4695978121
Sum42559888
Variance862.789953
2020-08-06T20:41:41.953979image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
20145592.6%
 
20064532.1%
 
20054502.1%
 
20044332.0%
 
20034201.9%
 
20074171.9%
 
19774171.9%
 
19783871.8%
 
19683811.8%
 
20083671.7%
 
Other values (106)1730980.2%
 
ValueCountFrequency (%) 
1900870.4%
 
1901290.1%
 
1902270.1%
 
1903460.2%
 
1904450.2%
 
ValueCountFrequency (%) 
2015380.2%
 
20145592.6%
 
20132010.9%
 
20121700.8%
 
20111300.6%
 

yr_renovated
Real number (ℝ≥0)

ZEROS

Distinct count70
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.77094428750058
Minimum0.0
Maximum2015.0
Zeros20849
Zeros (%)96.6%
Memory size168.7 KiB
2020-08-06T20:41:42.041751image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2015
Range2015
Interquartile range (IQR)0

Descriptive statistics

Standard deviation364.0700142
Coefficient of variation (CV)5.293951071
Kurtosis24.0715287
Mean68.77094429
Median Absolute Deviation (MAD)0
Skewness5.105627432
Sum1484971
Variance132546.9752
2020-08-06T20:41:42.137496image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02084996.6%
 
2014730.3%
 
2003310.1%
 
2013310.1%
 
2007300.1%
 
2000290.1%
 
2005290.1%
 
1990220.1%
 
2004220.1%
 
2009210.1%
 
Other values (60)4562.1%
 
ValueCountFrequency (%) 
02084996.6%
 
19341< 0.1%
 
19402< 0.1%
 
19441< 0.1%
 
19453< 0.1%
 
ValueCountFrequency (%) 
2015140.1%
 
2014730.3%
 
2013310.1%
 
20128< 0.1%
 
20119< 0.1%
 

zipcode
Real number (ℝ≥0)

Distinct count70
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98077.9435465197
Minimum98001
Maximum98199
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:42.235201image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum98001
5-th percentile98004
Q198033
median98065
Q398118
95-th percentile98177
Maximum98199
Range198
Interquartile range (IQR)85

Descriptive statistics

Standard deviation53.51368114
Coefficient of variation (CV)0.000545624013
Kurtosis-0.8536972882
Mean98077.94355
Median Absolute Deviation (MAD)42
Skewness0.4056566995
Sum2117797035
Variance2863.714069
2020-08-06T20:41:42.326956image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
981036022.8%
 
980385892.7%
 
981155832.7%
 
980525742.7%
 
981175532.6%
 
980425472.5%
 
980345452.5%
 
981185062.3%
 
980234992.3%
 
980064982.3%
 
Other values (60)1609774.5%
 
ValueCountFrequency (%) 
980013611.7%
 
980021990.9%
 
980032801.3%
 
980043171.5%
 
980051680.8%
 
ValueCountFrequency (%) 
981993171.5%
 
981982801.3%
 
981881360.6%
 
981782621.2%
 
981772551.2%
 

lat
Real number (ℝ≥0)

Distinct count5033
Unique (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.560095595794934
Minimum47.1559
Maximum47.7776
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:42.425691image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum47.1559
5-th percentile47.3103
Q147.4711
median47.5718
Q347.678
95-th percentile47.74964
Maximum47.7776
Range0.6217
Interquartile range (IQR)0.2069

Descriptive statistics

Standard deviation0.1385479518
Coefficient of variation (CV)0.0029131134
Kurtosis-0.6756685961
Mean47.5600956
Median Absolute Deviation (MAD)0.1049
Skewness-0.4856487353
Sum1026965.144
Variance0.01919553495
2020-08-06T20:41:42.522432image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
47.6624170.1%
 
47.5322170.1%
 
47.6846170.1%
 
47.5491170.1%
 
47.6886160.1%
 
47.6955160.1%
 
47.6711160.1%
 
47.5402150.1%
 
47.686150.1%
 
47.6842150.1%
 
Other values (5023)2143299.3%
 
ValueCountFrequency (%) 
47.15591< 0.1%
 
47.15931< 0.1%
 
47.16221< 0.1%
 
47.16471< 0.1%
 
47.17641< 0.1%
 
ValueCountFrequency (%) 
47.77763< 0.1%
 
47.77753< 0.1%
 
47.77741< 0.1%
 
47.77723< 0.1%
 
47.77712< 0.1%
 

long
Real number (ℝ)

Distinct count751
Unique (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-122.21397036076507
Minimum-122.519
Maximum-121.315
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:42.620171image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-122.519
5-th percentile-122.387
Q1-122.328
median-122.231
Q3-122.125
95-th percentile-121.9796
Maximum-121.315
Range1.204
Interquartile range (IQR)0.203

Descriptive statistics

Standard deviation0.1407300141
Coefficient of variation (CV)-0.001151505132
Kurtosis1.051731193
Mean-122.2139704
Median Absolute Deviation (MAD)0.101
Skewness0.8847546201
Sum-2638966.262
Variance0.01980493688
2020-08-06T20:41:42.702950image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-122.291150.5%
 
-122.31110.5%
 
-122.3621040.5%
 
-122.2911000.5%
 
-122.363990.5%
 
-122.372980.5%
 
-122.288980.5%
 
-122.357960.4%
 
-122.284950.4%
 
-122.365940.4%
 
Other values (741)2058395.3%
 
ValueCountFrequency (%) 
-122.5191< 0.1%
 
-122.5151< 0.1%
 
-122.5141< 0.1%
 
-122.5121< 0.1%
 
-122.5112< 0.1%
 
ValueCountFrequency (%) 
-121.3152< 0.1%
 
-121.3161< 0.1%
 
-121.3191< 0.1%
 
-121.3211< 0.1%
 
-121.3251< 0.1%
 

sqft_living15
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count777
Unique (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1986.7021256888806
Minimum399
Maximum6210
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:42.795702image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum399
5-th percentile1140
Q11490
median1840
Q32360
95-th percentile3300
Maximum6210
Range5811
Interquartile range (IQR)870

Descriptive statistics

Standard deviation685.263461
Coefficient of variation (CV)0.3449251159
Kurtosis1.591112486
Mean1986.702126
Median Absolute Deviation (MAD)410
Skewness1.106633212
Sum42898859
Variance469586.011
2020-08-06T20:41:42.886460image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
15401970.9%
 
14401950.9%
 
15601920.9%
 
15001800.8%
 
14601690.8%
 
15801670.8%
 
16101660.8%
 
18001660.8%
 
17201660.8%
 
16201640.8%
 
Other values (767)1983191.8%
 
ValueCountFrequency (%) 
3991< 0.1%
 
4602< 0.1%
 
6202< 0.1%
 
6701< 0.1%
 
6902< 0.1%
 
ValueCountFrequency (%) 
62101< 0.1%
 
61101< 0.1%
 
57906< 0.1%
 
56101< 0.1%
 
56001< 0.1%
 

sqft_lot15
Real number (ℝ≥0)

Distinct count8682
Unique (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12759.564210623814
Minimum651
Maximum871200
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:42.978248image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum651
5-th percentile2001.8
Q15100
median7620
Q310083
95-th percentile37048.4
Maximum871200
Range870549
Interquartile range (IQR)4983

Descriptive statistics

Standard deviation27276.78982
Coefficient of variation (CV)2.137752463
Kurtosis151.3693206
Mean12759.56421
Median Absolute Deviation (MAD)2505
Skewness9.52352988
Sum275517270
Variance744023263.1
2020-08-06T20:41:43.067975image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
50004272.0%
 
40003561.6%
 
60002881.3%
 
72002101.0%
 
48001450.7%
 
75001420.7%
 
84001160.5%
 
36001110.5%
 
45001110.5%
 
51001090.5%
 
Other values (8672)1957890.7%
 
ValueCountFrequency (%) 
6511< 0.1%
 
6591< 0.1%
 
6601< 0.1%
 
7482< 0.1%
 
7504< 0.1%
 
ValueCountFrequency (%) 
8712001< 0.1%
 
8581321< 0.1%
 
5606171< 0.1%
 
4382131< 0.1%
 
4347281< 0.1%
 

city
Categorical

Distinct count24
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size168.7 KiB
Seattle
8970
Renton
 
1597
Bellevue
 
1407
Kent
 
1201
Redmond
 
977
Other values (19)
7441
ValueCountFrequency (%) 
Seattle897041.5%
 
Renton15977.4%
 
Bellevue14076.5%
 
Kent12015.6%
 
Redmond9774.5%
 
Kirkland9774.5%
 
Auburn9104.2%
 
Sammamish8003.7%
 
Federal Way7793.6%
 
Issaquah7333.4%
 
Other values (14)324215.0%
 
2020-08-06T20:41:43.253417image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.496086695
Min length4

livable
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size168.7 KiB
1
21154
0
 
439
ValueCountFrequency (%) 
12115498.0%
 
04392.0%
 

q2_2014
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size168.7 KiB
0
17647
1
3946
ValueCountFrequency (%) 
01764781.7%
 
1394618.3%
 

q3_2014
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size168.7 KiB
0
15673
1
5920
ValueCountFrequency (%) 
01567372.6%
 
1592027.4%
 

q4_2014
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size168.7 KiB
0
16840
1
4753
ValueCountFrequency (%) 
01684078.0%
 
1475322.0%
 

q1_2015
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size168.7 KiB
0
17494
1
4099
ValueCountFrequency (%) 
01749481.0%
 
1409919.0%
 

q2_2015
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size168.7 KiB
0
18718
1
 
2875
ValueCountFrequency (%) 
01871886.7%
 
1287513.3%
 

log_sqft_living
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1034
Unique (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.550824448748599
Minimum5.913503005638269
Maximum9.513403546466266
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:43.340221image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum5.913503006
5-th percentile6.845879875
Q17.265429723
median7.554858521
Q37.843848638
95-th percentile8.232174236
Maximum9.513403546
Range3.599900541
Interquartile range (IQR)0.5784189149

Descriptive statistics

Standard deviation0.4241064267
Coefficient of variation (CV)0.05616690331
Kurtosis-0.07957048867
Mean7.550824449
Median Absolute Deviation (MAD)0.2894287978
Skewness-0.02676200026
Sum163044.9523
Variance0.1798662612
2020-08-06T20:41:43.429980image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7.1701195431380.6%
 
7.2442275161350.6%
 
7.2723983931330.6%
 
7.4145728811290.6%
 
7.4955419441290.6%
 
6.917705611290.6%
 
7.506591781280.6%
 
7.450079571250.6%
 
7.2997973671250.6%
 
7.35244111240.6%
 
Other values (1024)2029894.0%
 
ValueCountFrequency (%) 
5.9135030061< 0.1%
 
5.9401712531< 0.1%
 
5.9661467391< 0.1%
 
6.016157161< 0.1%
 
6.0402547112< 0.1%
 
ValueCountFrequency (%) 
9.5134035461< 0.1%
 
9.3968199391< 0.1%
 
9.2143323931< 0.1%
 
9.1992794251< 0.1%
 
9.1736763881< 0.1%
 

log_sqft_lot
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count9775
Unique (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.989903616131151
Minimum6.253828811575472
Maximum14.317109143238099
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:43.528684image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum6.253828812
5-th percentile7.496763272
Q18.525161361
median8.938531649
Q39.276783329
95-th percentile10.67621727
Maximum14.31710914
Range8.063280332
Interquartile range (IQR)0.7516219675

Descriptive statistics

Standard deviation0.9020928296
Coefficient of variation (CV)0.1003451058
Kurtosis3.329909965
Mean8.989903616
Median Absolute Deviation (MAD)0.3821177441
Skewness0.9625569696
Sum194118.9888
Variance0.8137714732
2020-08-06T20:41:43.607500image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8.5171931913581.7%
 
8.6995147482901.3%
 
8.294049642511.2%
 
8.8818363052201.0%
 
8.92265831190.6%
 
8.4763711971190.6%
 
8.4118326761140.5%
 
9.0359869851110.5%
 
9.1695183771090.5%
 
8.1886891241030.5%
 
Other values (9765)1979991.7%
 
ValueCountFrequency (%) 
6.2538288121< 0.1%
 
6.3491389911< 0.1%
 
6.3969296551< 0.1%
 
6.4118182681< 0.1%
 
6.4536249991< 0.1%
 
ValueCountFrequency (%) 
14.317109141< 0.1%
 
13.968054811< 0.1%
 
13.887103511< 0.1%
 
13.839293491< 0.1%
 
13.798362361< 0.1%
 

log_sqft_above
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count942
Unique (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.395281436695742
Minimum5.913503005638269
Maximum9.149528232579426
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:43.695292image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum5.913503006
5-th percentile6.745236349
Q17.081708586
median7.3524411
Q37.700747795
95-th percentile8.131530711
Maximum9.149528233
Range3.236025227
Interquartile range (IQR)0.6190392084

Descriptive statistics

Standard deviation0.4269842563
Coefficient of variation (CV)0.05773739106
Kurtosis-0.335656595
Mean7.395281437
Median Absolute Deviation (MAD)0.3049238789
Skewness0.2613249619
Sum159686.3121
Variance0.1823155552
2020-08-06T20:41:43.789020image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7.1701195432121.0%
 
6.917705612101.0%
 
7.0900768362061.0%
 
7.1066061381920.9%
 
7.0387835411840.9%
 
7.2442275161800.8%
 
6.9660241871780.8%
 
7.0732697171770.8%
 
7.2004248931760.8%
 
7.130898831740.8%
 
Other values (932)1970491.3%
 
ValueCountFrequency (%) 
5.9135030061< 0.1%
 
5.9401712531< 0.1%
 
5.9661467391< 0.1%
 
6.016157161< 0.1%
 
6.0402547112< 0.1%
 
ValueCountFrequency (%) 
9.1495282331< 0.1%
 
9.0893020441< 0.1%
 
9.0560230121< 0.1%
 
8.9896937011< 0.1%
 
8.9720831831< 0.1%
 

log_sqft_living15
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count777
Unique (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.539531474350569
Minimum5.988961416889863
Maximum8.733916174927524
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:43.881738image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum5.988961417
5-th percentile7.038783541
Q17.306531399
median7.517520851
Q37.766416898
95-th percentile8.101677747
Maximum8.733916175
Range2.744954758
Interquartile range (IQR)0.4598854991

Descriptive statistics

Standard deviation0.3274824895
Coefficient of variation (CV)0.04343538994
Kurtosis-0.2082238891
Mean7.539531474
Median Absolute Deviation (MAD)0.2313291359
Skewness0.2057211577
Sum162801.1031
Variance0.107244781
2020-08-06T20:41:43.976517image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7.3395376951970.9%
 
7.2723983931950.9%
 
7.35244111920.9%
 
7.3132203871800.8%
 
7.2861917151690.8%
 
7.3651801261670.8%
 
7.4955419441660.8%
 
7.3839894581660.8%
 
7.450079571660.8%
 
7.319864931640.8%
 
Other values (767)1983191.8%
 
ValueCountFrequency (%) 
5.9889614171< 0.1%
 
6.1312264892< 0.1%
 
6.4297194782< 0.1%
 
6.5072777121< 0.1%
 
6.5366915982< 0.1%
 
ValueCountFrequency (%) 
8.7339161751< 0.1%
 
8.7176820521< 0.1%
 
8.6638875716< 0.1%
 
8.6323059991< 0.1%
 
8.6305218771< 0.1%
 

log_sqft_lot15
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count8682
Unique (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.960825422816484
Minimum6.478509642208568
Maximum13.677626850600886
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T20:41:44.073260image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum6.478509642
5-th percentile7.601801785
Q18.536995819
median8.938531649
Q39.218606116
95-th percentile10.51998042
Maximum13.67762685
Range7.199117208
Interquartile range (IQR)0.6816102977

Descriptive statistics

Standard deviation0.8126546153
Coefficient of variation (CV)0.09068970513
Kurtosis3.563773667
Mean8.960825423
Median Absolute Deviation (MAD)0.3413347859
Skewness0.9660663034
Sum193491.1034
Variance0.6604075238
2020-08-06T20:41:44.164982image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8.5171931914272.0%
 
8.294049643561.6%
 
8.6995147482881.3%
 
8.8818363052101.0%
 
8.4763711971450.7%
 
8.92265831420.7%
 
9.0359869851160.5%
 
8.1886891241110.5%
 
8.4118326761110.5%
 
8.5369958191090.5%
 
Other values (8672)1957890.7%
 
ValueCountFrequency (%) 
6.4785096421< 0.1%
 
6.4907235351< 0.1%
 
6.4922398351< 0.1%
 
6.6174029782< 0.1%
 
6.6200732074< 0.1%
 
ValueCountFrequency (%) 
13.677626851< 0.1%
 
13.662513211< 0.1%
 
13.236793241< 0.1%
 
12.990460371< 0.1%
 
12.982475831< 0.1%
 

Interactions

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2020-08-06T20:41:34.619832image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:34.727555image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:34.874148image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:35.006762image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:35.133424image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:35.271057image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:35.414724image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:35.547332image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:35.685947image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:35.818594image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:35.953234image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:36.088871image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:36.210577image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:36.326264image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:36.482818image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:36.672311image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:36.841858image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:36.956551image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Correlations

2020-08-06T20:41:44.305641image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-06T20:41:44.622759image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-06T20:41:44.928941image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-06T20:41:45.227182image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-06T20:41:37.288061image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T20:41:38.318307image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Sample

First rows

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0071293005202014-10-13221,900.031.0118056501.00.00.03711800.019550.09817847.5112-122.25713405650Seattle1001007.0732697174597098.6394108241404877.0732697174597097.2004248929449578.639410824140487
1164141001922014-12-09538,000.032.25257072422.00.00.0372170400.019511,991.09812547.721-122.31916907639Seattle1001007.8516611778892658.8876526903255867.68248244653450657.4324838079171198.94102198354136
2256315004002015-02-25180,000.021.0770100001.00.00.0367700.019330.09802847.7379-122.23327208062Kenmore1000106.6463905148477289.2103403719761846.6463905148477287.9083871592900438.994916943677111
3324872008752014-12-09604,000.043.0196050001.00.00.0571050910.019650.09813647.5208-122.39313605000Seattle1001007.5806997522245628.5171931914162386.9565454431515687.2152399787300988.517193191416238
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5572375503102014-05-121,230,000.044.554201019301.00.00.031138901,530.020010.09805347.6561-122.0054760101930Redmond1100008.59785109443369111.5320415821624568.2661644366124928.46800294722546611.532041582162456
6613214000602014-06-27257,500.032.25171568192.00.00.03717150.019950.09800347.3097-122.32722386819Federal Way1100007.447168359600048.8274681125206547.447168359600047.713337888871878.827468112520654
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9937935001602015-03-12323,000.032.5189065602.00.00.03718900.020030.09803847.3684-122.03123907570Maple Valley1000107.5443321080536888.7887458819381347.5443321080536887.7790486449255568.931948346431493

Last rows

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215832158778521400402014-08-25507,250.032.5227055362.00.00.03822700.020030.09806547.5389-121.88122705731Snoqualmie1010007.7275351104754478.6190274972975057.7275351104754477.7275351104754478.653645314551737
215842158898342013672015-01-26429,000.032.0149011263.00.00.03814900.020140.09814447.5699-122.28814001230Seattle1000107.3065313989395047.0264268086996377.3065313989395047.2442275156033497.114769448366463
215852158934489002102014-10-14610,685.042.5252060232.00.00.03925200.020140.09805647.5137-122.16725206023Renton1001007.8320141805054698.7033407530437197.8320141805054697.8320141805054698.703340753043719
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21588215922630000182014-05-21360,000.032.5153011313.00.00.03815300.020090.09810347.6993-122.34615301509Seattle1100007.3330230143864817.0308574761161217.3330230143864817.3330230143864817.319202458767849
215892159366000601202015-02-23400,000.042.5231058132.00.00.03823100.020140.09814647.5107-122.36218307200Seattle1000107.7450028035158388.6678520677013487.7450028035158387.5120712458354668.881836305004146
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21591215952913101002015-01-16400,000.032.5160023882.00.00.03816000.020040.09802747.5345-122.06914101287Issaquah1000107.3777589082278727.7782114745124927.3777589082278727.25134498337221347.160069207596128
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